For decades Moore's law has been the driving force of semiconductor technology and the enabler of today's information technology. Smaller devices, resulting in faster chips and consequently cheaper microprocessors – this was the
economic law of this first of a kind revolution in IT.

However, nowadays, despite of a lot of innovation in materials, devices, device scaling and architectures, progress is continuously slowing down. This raises the fundamental question of what is next, what is the next revolution?

With the explosion of available data, the internet-of-things and the increasing demand for machine learning, deep learning and artificial intelligence, the computational workloads are significantly changing. Therefore, there is a growing need for specialized hardware which needs to be tailored and where materials, novel devices and device architectures can be the decisive components to handle these new computational tasks efficiently.

In that regard, completely new computing paradigms are developed such as quantum computing and non-von Neumann computing. In this talk I will give an overview of our research activities in the field of extending the core technology roadmaps and in the new paradigms of cognitive hardware technologies and quantum computing.